Comparing machine and human reviewers to evaluate the risk of bias in randomized controlled trials

Background Evidence from new health technologies is growing, along with demands for evidence to inform policy decisions, creating challenges in completing health technology assessments (HTAs)/systematic reviews (SRs) in a timely manner. Software can decrease the time and burden by automating the pro...

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Veröffentlicht in:Research synthesis methods 2020-05, Vol.11 (3), p.484-493
Hauptverfasser: Armijo‐Olivo, Susan, Craig, Rodger, Campbell, Sandy
Format: Artikel
Sprache:eng
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